2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)最新文献_第10页

Forecasting GDP of India and its neighbouring countries using Time Series Analysis 用时间序列分析预测印度及其邻国的GDP

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938189

Ankita Raj, S. K. Singh

引用次数: 0

Differential Protection of Microgrid based on Rate of Change of Apparent Power 基于视在功率变化率的微电网差动保护

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938363

Abinash Nanda, Nityananda Giri, P. Nayak, R. Mallick, Sairam Mishra, A. Choudhury

引用次数: 0

Quantum based Northem Rockhopper Penguin Optimization Algorithm for Power Loss Diminution 基于量子的北跳岩企鹅减功耗优化算法

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938175

L. Kanagasabai

引用次数: 0

A Multi-Functional, 3P4W Utility Integrated Single- Stage Distributed Generating System With DROGI Based Control Approach 基于DROGI控制方法的多功能3P4W公用事业集成单级分布式发电系统

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938332

Ritesh Gupta, S. Ghatakchoudhuri

{"title":"A Multi-Functional, 3P4W Utility Integrated Single- Stage Distributed Generating System With DROGI Based Control Approach","authors":"Ritesh Gupta, S. Ghatakchoudhuri","doi":"10.1109/GlobConPT57482.2022.9938332","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938332","url":null,"abstract":"This article shows a Three-Phase, Four-Wire (3P4W) AC mains supportive single-stage, Solar Photovoltaic-Battery Energy Storage-Voltage Source Converter (SPV-BES-VSC) based Distributed Energy Generation System (DEG) to accomplish multiple functions, is presented using Double Reduced Order Generalised Integrator (DROGI). DROGI based Current Control performs multi-tasking such as, power factor correction and eliminates zero sequence harmonic from the neutral wire. One of the ROGI functions is to produce the 50 Hz peak component from the distorted, balanced/unbalanced load current. The purpose of another ROGI is to generate a sinusoidal unit template for reference AC mains current, even if sag/swell occurs at the Point of Common Coupling (PCC). BES system is protected from overcharge/deep discharge by using a Energy Management System (EMS). The complete control algorithm is realised in MATLAB in Discrete Time Frame (DTF) using simulink and Sim Power System (SPS) toolboxes for different operating conditions. The Total Harmonic Distortion (THD) of AC mains current is noticed within 5% according to IEEE-519 and 929, respectively.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116917785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Method to Localize and Quantify Axial Displacement in Transformer Winding Using Support Vector Machines 基于支持向量机的变压器绕组轴向位移定位与量化方法

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938221

P. Saji, A. Muhammed, V. V.

{"title":"An Efficient Method to Localize and Quantify Axial Displacement in Transformer Winding Using Support Vector Machines","authors":"P. Saji, A. Muhammed, V. V.","doi":"10.1109/GlobConPT57482.2022.9938221","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938221","url":null,"abstract":"Power transformers are an inevitable and expensive equipment in an electrical power system. Condition monitoring uses predictive analysis to determine whether a problem is present or absent in order to prevent transformer failures and guarantee the transformer's safe operation. Among various condition monitoring techniques, Sweep Frequency Response Analysis (SFRA) is a powerful and reliable tool to detect winding deformations. However, the diagnosing potential of SFRA is still its infant state. Any mechanical damage in the transformer winding will change the equivalent circuit parameters and this change will be reflected in the FRA traces. By comparing the FRA traces of the testing transformer with normal winding the fault can be detected. To locate and quantify the axial displacement these FRA traces need to be acknowledged precisely. Support Vector Machine (SVM), a supervised machine learning technique helps to locate and quantify the axial displacement with the help of features extracted from the FRA traces of testing transformer and nominal winding. A series of axial displacements is simulated in FEMM Software and corresponding equivalent circuit parameters are used to generate FRA traces. Furthermore, features are extracted from these FRA traces to train the SVM model to enable it to predict the location and quantity of axial displacement accurately. Finally, the accuracy of this SVM model is tested through randomly created axial displacements data. The result indicates the ability of this technique to be used as an intelligent and accurate diagnostic tool.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model Predictive Control for Magnetic Linked Multiport Converter 磁链多端口变换器的模型预测控制

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938296

Zhipeng Qi, Md. Ashib Rahman, Md. Rabiul Islam

{"title":"Model Predictive Control for Magnetic Linked Multiport Converter","authors":"Zhipeng Qi, Md. Ashib Rahman, Md. Rabiul Islam","doi":"10.1109/GlobConPT57482.2022.9938296","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938296","url":null,"abstract":"The magnetic linked multiport converter (MLMC) has high degree of control flexibility and can be operated as an effective interface for renewable energy integration to the traditional power grid and electric vehicle charging. Unlike the traditional magnetic linked dual port converters, the MLMC provides multiple ports, which share a common magnetic link. The MLMC has soft-switching ability, ensures galvanic isolation, and facilitates high-density power transmission. For the robust and effective operation of the MLMC, the voltages at the multiple ports should be perfectly balanced under rapid load change conditions so that the ports can be accessed in a plug-n-play manner. The traditional linear controller suffers from high voltage overshoot and undershoot under abrupt load change and the controller can be saturated which in turn makes the system unbalance. In this paper, a model predictive control technique is developed and proposed first time for the MLMC to ensure robust voltage control. The performance of the controller is tested under different load change conditions at different ports of the MLMC. The results show that the controller effectively balances the voltages under varying loads connected to the MLMC at random time interval. Moreover, with the predictive controller, the voltages achieves very fast dynamic response and do not show any significant voltage overshoot and undershoot, which indicates the superiority of the controller.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117070893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Cardiac Magnetic Resonance Imaging Segmentation using Ensemble of 2D and 3D Deep Residual U-Net 基于二维和三维深度残差u网集成的心脏磁共振成像分割

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938245

Kamal Raj Singh, Ambalika Sharma, G. Singh

{"title":"Cardiac Magnetic Resonance Imaging Segmentation using Ensemble of 2D and 3D Deep Residual U-Net","authors":"Kamal Raj Singh, Ambalika Sharma, G. Singh","doi":"10.1109/GlobConPT57482.2022.9938245","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938245","url":null,"abstract":"The domain of deep learning stimulates medical image analysis, which is a catalyst of scientific research and an essential element of healthcare. Since semantic segmentation techniques empower image processing and quantitative determination in various applications, designing a dedicated solution is challenging and heavily reliant on input data characteristics and hardware constraints. Cardiac magnetic resonance imaging segmentation provides three essential heart structures, left ventricle (LV) cavity, myocardium (MYO), and right ventricle (RV) cavity. In clinical applications, manual contouring is frequently utilized to perform semantic segmentation. A fully automated cardiac magnetic resonance image (CMRI) segmentation technique is becoming more desirable as deep learning-based frameworks advance. Motivated by the power of U-Net, residual network, and deep supervision, this paper proposes a Deep Residual U-Net to achieve better LV, MYO, and RV segmentation in short-axis CMRI. The model is formed with residual connections and has a similar layout to U-Net. It provides three advantages: First, residual connections make deep network training easier. Second, the network's rich skip connections enable feature propagation, allowing for network creation with lower complexity but more remarkable performance. Third, Deep supervision facilitates the loss computation at every feature dimension except at least two, empowering gradients to be implanted more deeply in the network and improving each layer's training in Deep Residual U-Net. Automated Cardiac Diagnosis Challenge (ACDC) 2017 dataset has been used to assess the segmentation efficiency of proposed model. The proposed approach significantly outperformed all other methods, evidencing its supremacy over recent state-of-the-art U-Net-based techniques.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115083715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Analysis of Switched-Inductor Active Switched Boost Inverter 开关电感有源开关升压逆变器的性能分析

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938366

Vadthya Jagan, Chandrashekar Anupati, Shravan kumar Nallachervula, Hazrath Ali Shaik, Manasa Chilkamari

引用次数: 0

Data Analysis of Non Fungible Tokens (NFTs) Pricing using Brokerage Firm data 使用经纪公司数据对不可替代代币(nft)定价进行数据分析

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938298

M. Darshan, S.R Raswanth, Priyanka Kumar

引用次数: 2

Bioinspired Flapping Foil With Trailing Edge Flap For Remotely Operated Vehicles (ROVs) 用于遥控车辆(rov)的带有后缘襟翼的仿生襟翼箔

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938228

N. P. Mannam, Sanju Kumar N T, Prasanth Kumar Duba, P. Rajalakshmi

{"title":"Bioinspired Flapping Foil With Trailing Edge Flap For Remotely Operated Vehicles (ROVs)","authors":"N. P. Mannam, Sanju Kumar N T, Prasanth Kumar Duba, P. Rajalakshmi","doi":"10.1109/GlobConPT57482.2022.9938228","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938228","url":null,"abstract":"Highly efficient propulsive mechanisms of aquatic swimming creatures could serve as inspiration for developing new propulsion methods where it exceeds the performance of present-day thrusters and propellers for ASVs, AUVs, and ROVs. The advantages of eco-friendly propulsion combined with a lesser wake could be advantageous for marine vehicles' stability and maneuvering. As a result, we need to improve our knowledge of fish or dolphin swimming hydrodynamics and their fluid-structure interaction to develop benchmark designs for new propulsion methods. Flapping foil thrusters for propulsion has sparked much interest in recent years. AUVs, ASVs, and ROVs vehicles could greatly benefit from this technology. In dolphin swimming kinematics, the flapping foil thruster is an essential component. This research aims to understand better the hydrodynamics and fluid-structure interaction of flapping foils subjected to heaving and pitching motions. In the present study, the bio-inspired flapping foil thrusters fitted with trailing edge flaps are studied experimentally using flow visualization techniques such as 2D particle image velocimetry (PIV). The time average vorticity contours and instantaneous velocity contours are presented in this study. The flapping foils with trailing edge flaps are immersed in a free stream of uniform flow speed varying from 5 to 10 cm/s. The operating Reynold number (Re) range is 500 to 4300. The Strouhal number range is 0.2 to 0.3. This study also investigated the effect of flapping foil without trailing edge flaps using 2D numerical simulations. By simulating the wake structure and its evolution, the present study aims to understand the vortex shedding mechanisms of flapping foil with or without trailing edge flaps, determining thrust and propulsive efficiency. The vortex shedding mechanisms for both the foils are presented and discussed in detail.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123528486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0